Scholar
Sarah Dean
Google Scholar ID: xhKqjpYAAAAJ
Cornell
Citations & Impact
Citations
2,535
H-index
17
i10-index
23
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Published papers at top conferences including NeuRIPS, CDC, ICML, AISTATS, WSDM, L4DC, KDD, etc.; Selected as AI2050 Early Career Fellow and received NSF CAREER award; Co-organized several academic workshops like NESCW 2024, RecEcoSys at AAAI 2024, etc.
Research Experience
- Interned at Canopy (Summer 2019); Founding member of GEESE; Currently an Assistant Professor in the CS Department at Cornell, teaching courses such as Machine Learning in Feedback Systems.
Education
- PhD: EECS at UC Berkeley, advised by Ben Recht; Postdoc: UW, with Jamie Morgenstern
Background
- Studies the interplay between optimization, machine learning, and dynamics in real-world systems. Focuses on understanding the fundamentals of data-driven methods for control and decision-making, with applications ranging from robotics to recommendation systems.
Miscellany
- Personal interests not explicitly mentioned
Co-authors